School of Participant(s)

St. Mary's Cannossian College

Innovative Idea

OptiScan is an AI system which analyses retinal images to detect potential glaucoma patients. Our system is trained in Colab. Using the transfer learning method, we input a dataset of 2333 retinal images into a pre-trained ResNet-50 model. The dataset consists of retinal images of glaucoma patients and normal people. We used Tensorflow, together with PyTorch, as the library for the dataset. 80% of the dataset is used to train our system, while the remaining 20% acts as the validation data. In the end, our system has an accuracy of 88.2%.